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Senior engineering manager, machine learning

Descompagnons Trabalho Temporário Lda

Almada

Presencial

EUR 70 000 - 90 000

Tempo integral

Há 8 dias

Resumo da oferta

A leading customer service technology company seeks a Machine Learning Engineering Manager for their AI Copilot team. Responsibilities include leading ML engineers, enhancing software delivery, and fostering an inclusive environment. The ideal candidate has experience managing teams and leading ML projects, with strong communication skills. This role offers a flexible hybrid work environment in Portugal, allowing work both onsite and remotely.

Qualificações

  • Experience managing people across one or more teams.
  • Expertise in leading machine learning projects to production.
  • Excellent written and verbal communication skills.
  • Ability to prioritize effectively.
  • Commitment to continual development.

Responsabilidades

  • Lead a team of experienced Machine Learning Engineers and Scientists.
  • Collaborate with ML/AI leadership to improve software delivery.
  • Recruit new team members and facilitate the interview process.
  • Create an inclusive working environment.
  • Contribute to team improvement and career development.

Conhecimentos

Team leadership
Machine learning project delivery
Communication
Prioritization skills
Collaborative work ethic

Ferramentas

Python
Ruby
AWS
PyTorch
Kubernetes
Descrição da oferta de emprego
Machine Learning Engineering Manager – AI Copilot Team

At Zendesk, our focus is helping our customers build great relationships with their customers. Founded by three Danish entrepreneurs, Zendesk has experienced remarkable success and growth while maintaining a fun, positive, and earth culture.

We are looking for a Machine Learning Engineering Manager to join our AI Copilot team. You will be delivering AI/ML powered features for our customers at Zendesk scale.

What you’ll be doing

  • Lead a team of experienced Machine Learning Engineers and Scientists, offering direction and assistance at every stage of the lifecycle of an ML project.
  • Collaborate with existing ML/AI leadership to continually improve software delivery and service reliability.
  • Lead the recruitment of new team members and facilitate a speedy, engaged interview process.
  • Create a diverse and inclusive working environment where people can thrive.
  • Be an active contributor to your team’s continuous improvement and its members’ career development.

What you bring to the role

Required

  • Experience managing people across one or more teams, ideally working with large, distributed Internet‑facing systems.
  • Proven expertise in leading the delivery of machine learning projects to production.
  • Phenomenal communication skills, both written and verbal.
  • Refined prioritization skills, able to focus your time and energy where it will have the most impact.
  • A dedication to continual development.
  • Collaborative, upbeat work ethic where you can take ownership and have fun.

Preferred

  • Previous experience delivering ML products, or in ML operations (MLOps).
  • Experience with recent tooling around LLM evaluation and monitoring.
  • Experience with either SQL or DBT.

Tech Stack

  • Python and Ruby
  • AWS
  • PyTorch
  • Airflow and Metaflow
  • Amazon S3, RDS MySQL, Snowflake
  • Kubernetes with Docker
  • Large‑language‑model technology from multiple providers

Hybrid Work Experience

In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration—while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific office schedule will be determined by the hiring manager.

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working enables us to purposefully come together in person at one of our many Zendesk offices around the world, to connect, collaborate and learn while also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with company guidelines and applicable law.

Zendesk is an equal‑opportunity employer and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment or employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender identity, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please see our EEO statement.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any employment testing, or otherwise participate in the selection process, please send an email to peopleandplaces@zendesk.com with your specific accommodation request.

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